Connect to SQL Server Data from Crystal Reports

Crystal Reports is a business intelligence application by SAP designed to help you analyze your data with well-formatted, pixel-perfect, and multi-page reports. When paired with CData Connect AI, Crystal Reports gets access to live SQL Server data. This article demonstrates how to connect to SQL Server using Connect AI and report on SQL Server data in Crystal Reports.

CData Connect AI provides a pure SQL Server interface for SQL Server, allowing you to query data from SQL Server without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to SQL Server, leveraging server-side processing to return the requested SQL Server data quickly.

Configure SQL Server Connectivity for Crystal Reports

Connectivity to SQL Server from Crystal Reports is made possible through CData Connect AI. To work with SQL Server data from Crystal Reports, we start by creating and configuring a SQL Server connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "SQL Server" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to SQL Server.

   Connecting to Microsoft SQL Server

   Connect to Microsoft SQL Server using the following properties:

   • Server: The name of the server running SQL Server.
   • User: The username provided for authentication with SQL Server.
   • Password: The password associated with the authenticating user.
   • Database: The name of the SQL Server database.

   Connecting to Azure SQL Server and Azure Data Warehouse

   You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

   • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
   • User: The name of the user authenticating to Azure.
   • Password: The password associated with the authenticating user.
   • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

   SSH Connectivity for SQL Server

   You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

   SSH Connections to SQL Server in Password Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to SQL Server in Public Key Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SQL Server Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SQL Server data from Crystal Reports.

Connect to SQL Server from Crystal Reports using Connect AI

To establish a connection from Crystal Reports to CData Connect AI, you will need to download the JDBC driver.

1. Open the Client Tools page of CData Connect AI.
2. Search for and select JDBC.
3. Download and run the setup file.
4. When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
5. Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).

After copying the JDBC CData Connect JAR file, you will need to paste it into the Crystal Reports installation location and configure the connection to Connect AI.

1. Find the installation directory for Crystal Reports, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib
2. Paste the JDBC Connect JAR file into the Crystal Reports installation directory.
3. Go to the parent java folder. For example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java This folder should contain a CRConfig file. 👁 Locating the CRConfig file in the Crystal Reports installation directory.
   
4. Open CRConfig in a text editor.
5. Add the path to the JDBC CData Connect JAR file in the
6. Log into Crystal Reports and start a blank report.
7. In the Database Expert dialog, click Create New Connection.
8. Select the JDBC data source and the tables you want to add. Click OK. 👁 Selecting the JDBC data source.
   
9. In the Connection dialog, enter the Connection URL (e.g. jdbc:connect:AuthScheme=Basic;user=username;password=PAT;) and Database Classname (e.g. cdata.jdbc.connect.ConnectDriver). 👁 Configuring the connection.
   
10. Click Finish. The Database Expert dialog displays all available connections. 👁 Browsing the available data from Connect AI.
    

You can now create reports with the connected data.

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